"""
工具9：数据分析工具
功能：统计分析招聘数据
"""
import json
import logging
from langchain.tools import BaseTool
from datetime import datetime, timedelta

logger = logging.getLogger(__name__)


class DataAnalysisTool(BaseTool):
    """数据分析工具"""
    
    name: str = "data_analysis_tool"
    description: str = """
        统计分析招聘数据。
        
        输入参数（JSON字符串）：
        {
            "analysis_type": "monthly_summary",  // 分析类型
            "time_range": "本月"
        }
        """
    
    def _run(self, analysis_type: str = "monthly_summary", time_range: str = "本月") -> str:
        try:
            from home.models import Jobposting, DeliverJobposting
            
            # 简化实现：统计本月数据
            today = datetime.now()
            month_start = today.replace(day=1)
            
            total_jobs = Jobposting.objects.count()
            total_applications = DeliverJobposting.objects.filter(
                created_at__gte=month_start
            ).count()
            
            analysis_result = {
                "period": time_range,
                "total_jobs": total_jobs,
                "total_applications": total_applications,
                "avg_applications_per_job": round(total_applications / total_jobs, 2) if total_jobs > 0 else 0
            }
            
            return json.dumps({
                "success": True,
                "data": analysis_result,
                "message": "分析完成"
            }, ensure_ascii=False)
            
        except Exception as e:
            logger.error(f"数据分析失败: {str(e)}")
            return json.dumps({
                "success": False,
                "error": str(e)
            }, ensure_ascii=False)
    
    async def _arun(self, *args, **kwargs):
        raise NotImplementedError()


